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Academic Articles & Research Papers
Showing 20 of 118 academic articles
Mostafa Raeisi, Abu B. Sesay • IEEE Access
(2022)
In this paper, we propose a new distance metric for the K-means clustering algorithm. Applying this metric in clustering a dataset, forms unequal clusters. This metric leads to a larger size for a cluster with a centroid away from the origi...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3198992
Jaehyun Lee, Jinho Kim, Woong Ko • Applied Sciences
(2019)
Electric load forecasting for buildings is important as it assists building managers or system operators to plan energy usage and strategize accordingly. Recent increases in the adoption of advanced metering infrastructure (AMI) have made b...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app9061231
Eva Klingberg, Maria K. Magnusson, Hans Strid, Anna Deminger et al. • Arthritis Research & Therapy
(2019)
Abstract Background Ankylosing spondylitis (AS) shares many characteristics with inflammatory bowel disease (IBD). Intestinal microbiota most likely plays an important role in the development of IBDs and may also be involved in the pathogen...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13075-019-2018-4
Limin Chuan, Jingjuan Zhao, Shijie Qi, Qian Jia et al. • Applied Sciences
(2024)
From the perspective of project and paper datasets, research frontier recognition in the field of agricultural resources and the environment using the Latent Dirichlet Allocation (LDA) topic extraction model was studied. By combining the wi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app14124996
Xieling Chen, Haoran Xie, Fu Lee Wang, Ziqing Liu et al. • BMC Medical Informatics and Decision Making
(2018)
BACKGROUND: Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available. It is of great sig...
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DOI: https://doi.org/10.1186/s12911-018-0594-x
PMC: 5872501
Jantima Polpinij, Manasawee Kaenampornpan, Christopher S. G. Khoo, Wei-Ning Cheng et al. • Mathematics
(2026)
Extracting and organizing knowledge from the agricultural crop disease research literature are challenging tasks because of the heterogeneous terminologies, complicated symptom descriptions, and unstructured nature of scientific documents. ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math14020299
Asefeh Asemi, Rajab Kiani Shahvandy, Mahdi Houshangi • International Journal of Information Management Data Insights
(2026)
Objective: This study conducts a comprehensive empirical evaluation of semantic clustering algorithms to identify the most effective approach for automatically organizing and extracting meaning from textual data. By systematically comparing...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jjimei.2026.100396
Simov Kiril, Osenova Petya • Cybernetics and Information Technologies
(2018)
With the availability of large language data online, cross-linked lexical resources (such as BabelNet, Predicate Matrix and UBY) and semantically annotated corpora (SemCor, OntoNotes, etc.), more and more applications in Natural Language Pr...
DOAJ
Open Access (DOAJ)
DOI: 10.2478/cait-2018-0008
Jiaqi Fu, Chaixiu Li, Chunlan Zhou, Wenji Li et al. • Journal of Medical Internet Research
(2023)
BackgroundGiven the rapid development of social media, effective extraction and analysis of the contents of social media for health care have attracted widespread attention from health care providers. As far as we know, most of the reviews ...
DOAJ
Open Access (DOAJ)
DOI: 10.2196/43349
Ales Jelinek, Adam Ligocki, Ludek Zalud • Journal of Open Research Software
(2021)
Robotic Template Library (RTL) is a set of tools for dealing with geometry and point cloud processing, especially in robotic applications. The software package covers basic objects such as vectors, line segments, quaternions, rigid transfor...
DOAJ
Open Access (DOAJ)
DOI: 10.5334/jors.353
Liang Lu, Carlos Redondo, Pascual Campoy • Sensors
(2020)
Aerial robots are widely used in search and rescue applications because of their small size and high maneuvering. However, designing an autonomous exploration algorithm is still a challenging and open task, because of the limited payload an...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s20226507
Ben T. Grys, Dara S. Lo, Nil Sahin, Oren Z. Kraus et al. • The Journal of Cell Biology
(2016)
With recent advances in high-throughput, automated microscopy, there has been an increased demand for effective computational strategies to analyze large-scale, image-based data. To this end, computer vision approaches have been applied to ...
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cc-by-nc-sa
DOI: https://doi.org/10.1083/jcb.201610026
PMC: 5223612
Wesley E. Snyder, Hairong Qi • Cambridge University Press eBooks
(2017)
Computer vision has widespread and growing application including robotics, autonomous vehicles, medical imaging and diagnosis, surveillance, video analysis, and even tracking for sports analysis. This book equips the reader with crucial mat...
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DOI: https://doi.org/10.1017/9781316882641
Christoph H. Lampert • Foundations and Trends® in Computer Graphics and Vision
(2009)
Over the last years, kernel methods have established themselves as powerful tools for computer vision researchers as well as for practitioners. In this tutorial, we give an introduction to kernel methods in computer vision from a geometric ...
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DOI: https://doi.org/10.1561/0600000027
Yonatan T. Tesfaye, Eyasu Zemene, Marcello Pelillo, Andrea Prati • IET Computer Vision
(2016)
Multi‐object tracking is an interesting but challenging task in the field of computer vision. Most previous works based on data association techniques merely take into account the relationship between detection responses in a locally limite...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/iet-cvi.2015.0297
Siham Bakkouri, Abderrahmane Elyousfi • IEEE Access
(2022)
As an extension of the High Efficiency Video Coding (HEVC) standard, the 3D-HEVC needs to encode multiple texture videos and depth maps components. In the 3D-HEVC inter-coding test model, a large variety of Coding Unit (CU) sizes are adopte...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3147502
Anna S. Kolosova, Anna S. Kameneva, Georgii G. Chukov, Alexander Y. Nikiforov • Безопасность информационных технологий
(2023)
The major algorithms and methods of machine learning are considered. A possibility of machine learning and neural network using for electronic equipment quality prediction is assessed. The paper provides examples of the successful applicati...
DOAJ
Open Access (DOAJ)
DOI: 10.26583/bit.2023.1.09
Asharul Islam Khan, Salim Al-Habsi • Procedia Computer Science
(2020)
During last few years the computer applications have gone dramatic transformation from simple data processing to machine learning, thanks to the availability and accessibility of huge volume of data collected through sensors and internet. T...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.procs.2020.03.355
Ajesh Kumar, Toni Kuronen, Bilal Naqvi, Salla Annala et al. • Energy Informatics
(2026)
Abstract Energy Citizenship refers to individuals and communities participating, sometimes begrudgingly, in adopting energy solutions, whether sustainable or not. When enacted positively, it advances the green energy transition. There are s...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s42162-026-00691-0
Robert Callan (1998)
* Introduction * Classifying Patterns * Clustering Patterns * Pattern Association * A Sample of Recurrent Networks * Some Other Network Models and A Few Practical Points * Links to Artificial Intelligence * Synthesising Symbols with Neural ...
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